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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      09 May 2023, Volume 38 Issue 3
    Article

    MAC DESIGN USING APPROXIMATE MULTI-LEVEL COMPRESSORS WITH BALANCED ERROR ACCUMULATION
    K Sridevi1,Dr M Santhanalakshimi2, Dr S Bhavani3,R Priya4
    Journal of Data Acquisition and Processing, 2023, 38 (3): 249-256 . 

    Abstract

    The Multiply-Accumulate (MAC) processing can be implemented using an approximative computing technique. Unlike earlier research, where the approximate range was constrained by an error accumulation issue. In contrast, a number of approximation multipliers are interleaved in this study to account for mistakes that occur when accumulate operations are performed in the opposite direction. Create the roughly 4-2 compressors that produce mistakes in the opposite direction while first reducing the computational expenses for the balanced error accumulation. Then, to provide a comparable error distance, positive and negative multipliers are painstakingly developed based on the probabilistic analysis. According to simulation results on various real-world applications, the suggested MAC processing offers the energy-efficient computing scenario by widening the range of approximatively portions. The core-level energy is decreased by the proposed interleaving strategy.

    Keyword

    Convolutional Neural Networks, Multiplier, Image Processing, Approximate Computing,Multiplier.


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